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Publication search results
found 25 matches
- 2022
- Nguyen P. Nguyen, Stephanie Lopez, Catherine L. Smith, Teresa E. Lever, Nicole L. Nichols, Filiz Bunyak:
Axon and Myelin Sheath Segmentation in Electron Microscopy Images using Meta Learning. AIPR 2022: 1-6 - Andy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster, Melody Wolk:
Bridging Automated to Autonomous Cyber Defense: Foundational Analysis of Tabular Q-Learning. AISec@CCS 2022: 149-159 - Melody Wolk, Andy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster:
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies. CoRR abs/2211.15557 (2022) - 2020
- Dragana M. Pavlovic, Bryan Guillaume, Emma K. Towlson, Nicole M. Y. Kuek, Soroosh Afyouni, Petra E. Vértes, B. T. Thomas Yeo, Edward T. Bullmore, Thomas E. Nichols:
Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure. NeuroImage 220: 116611 (2020) - Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor:
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CVPR Workshops 2020: 3422-3431 - Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor:
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CoRR abs/2004.11514 (2020) - Gianluca Longoni, Ryan LaMothe, Jeremy Teuton, Mark Greaves, Nicole Nichols, William Smith:
Machine Learning Algorithms for Active Monitoring of High Performance Computing as a Service (HPCaaS) Cloud Environments. CoRR abs/2009.12498 (2020) - 2019
- Karen P. Nicholson, Nicole Pagowsky, Maura Seale:
Just-in-Time or Just-in-Case? Time, Learning Analytics, and the Academic Library. Libr. Trends 68(1): 54-75 (2019) - Jonathan M. Nichols, Meredith N. Hutchinson, Nicole Menkart, Geoff A. Cranch, Gustavo Kunde Rohde:
Time Delay Estimation Via Wasserstein Distance Minimization. IEEE Signal Process. Lett. 26(6): 908-912 (2019) - 2018
- Aaron Randall Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper:
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. AAAI Workshops 2018: 285-293 - Nicole Nichols, Robert Jasper:
Projecting Trouble: Light based Adversarial Attacks on Deep Learning Classifiers. AAAI Fall Symposium: ALEC 2018: 44-49 - Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols:
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR abs/1803.04967 (2018) - Nicole Nichols, Robert Jasper:
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers. CoRR abs/1810.10337 (2018) - 2017
- Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
Predicting User Roles from Computer Logs Using Recurrent Neural Networks. AAAI 2017: 4993-4994 - Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. AAAI Workshops 2017 - Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. CoRR abs/1710.00811 (2017) - Nicole Nichols, Mark Raugas, Robert Jasper, Nathan Hilliard:
Faster Fuzzing: Reinitialization with Deep Neural Models. CoRR abs/1711.02807 (2017) - Aaron Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper:
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. CoRR abs/1712.00557 (2017) - 2016
- Nicole Nichols, Mark Greaves, William Smith, Ryan LaMothe, Gianluca Longoni, Jeremy Teuton:
Identification of program signatures from cloud computing system telemetry data. SSCI 2016: 1-5 - 2014
- Charles Nichols, Mark Lorang, Mark Gibbons, Nicole Bradley Browning, Amber Bushnell:
Sound of Rivers: Stone Drum: a Multimedia Collaboration, with Sonified Data, Computer-Processed Narration, and Electric Violin. ICMC 2014 - Bernd Taschler, Tian Ge, Kerstin Bendfeldt, Nicole Müller-Lenke, Timothy D. Johnson, Thomas E. Nichols:
Spatial Modeling of Multiple Sclerosis for Disease Subtype Prediction. MICCAI (2) 2014: 797-804 - 2012
- Bradley W. Langhorst, William E. Jack, Linda Reha-Krantz, Nicole M. Nichols:
Polbase: a repository of biochemical, genetic and structural information about DNA polymerases. Nucleic Acids Res. 40(Database-Issue): 381-387 (2012) - Kerstin Bendfeldt, Stefan Klöppel, Thomas E. Nichols, Renata Smieskova, Pascal Kuster, Stefan Traud, Nicole Mueller-Lenke, Yvonne Naegelin, Ludwig Kappos, Ernst-Wilhelm Radue, Stefan J. Borgwardt:
Multivariate pattern classification of gray matter pathology in multiple sclerosis. NeuroImage 60(1): 400-408 (2012) - 2009
- Kerstin Bendfeldt, Pascal Kuster, Stefan Traud, Hanspeter Egger, Sebastian Winklhofer, Nicole Mueller-Lenke, Yvonne Naegelin, Achim Gass, Ludwig Kappos, Paul M. Matthews, Thomas E. Nichols, Ernst-Wilhelm Radue, Stefan J. Borgwardt:
Association of regional gray matter volume loss and progression of white matter lesions in multiple sclerosis - A longitudinal voxel-based morphometry study. NeuroImage 45(1): 60-67 (2009) - 2002
- Christopher R. Genovese, Nicole A. Lazar, Thomas E. Nichols:
Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate. NeuroImage 15(4): 870-878 (2002)
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